Haohao Yan1, Yudan Ding, Wenbin Guo. 1. From the National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Abstract
OBJECTIVE: This study aimed to quantify the prevalence of the adverse mental health outcomes in medical staff working in the hospital settings during the coronavirus disease 2019 (COVID-19) pandemic and explore the relative distribution of anxiety and depressive symptoms. METHODS: PubMed, EMBASE, China National Knowledge Infrastructure, WANFANG DATA, and VIP Database for Chinese Technical Periodicals were searched for articles published from January 1, 2019, to April 19, 2020. The prevalence estimates of adverse mental health symptoms in medical staff were pooled using the random-effects model. RESULTS: A total of 35 articles and data of 25,343 medical staff were used in the final analysis. The pooled prevalence estimates in medical staff during the COVID-19 pandemic were as follows (ordered from high to low): fear-related symptoms, 67% (95% confidence interval [CI] = 61%-73%); high levels of perceived stress, 56% (95% CI = 32%-79%), anxiety symptoms, 41% (95% CI = 35%-47%); insomnia, 41% (95% CI = 33%-50%); posttraumatic stress disorder symptoms, 38% (95% CI = 34%-43%); depressive symptoms, 27% (95% CI = 20%-34%); and somatic symptoms, 16% (95% CI = 3%-36%). The subgroup analysis revealed that the prevalence estimates of fear-related symptoms were consistently high. CONCLUSIONS: Medical staff during the COVID-19 epidemic have a high prevalence of adverse mental health symptoms. Data-based strategies are needed to optimize mental health of medical staff and other health care professionals during times of high demand such as the COVID-19 and other epidemics.PROSPERO Registration: CRD42020182433.
OBJECTIVE: This study aimed to quantify the prevalence of the adverse mental health outcomes in medical staff working in the hospital settings during the coronavirus disease 2019 (COVID-19) pandemic and explore the relative distribution of anxiety and depressive symptoms. METHODS: PubMed, EMBASE, China National Knowledge Infrastructure, WANFANG DATA, and VIP Database for Chinese Technical Periodicals were searched for articles published from January 1, 2019, to April 19, 2020. The prevalence estimates of adverse mental health symptoms in medical staff were pooled using the random-effects model. RESULTS: A total of 35 articles and data of 25,343 medical staff were used in the final analysis. The pooled prevalence estimates in medical staff during the COVID-19 pandemic were as follows (ordered from high to low): fear-related symptoms, 67% (95% confidence interval [CI] = 61%-73%); high levels of perceived stress, 56% (95% CI = 32%-79%), anxiety symptoms, 41% (95% CI = 35%-47%); insomnia, 41% (95% CI = 33%-50%); posttraumatic stress disorder symptoms, 38% (95% CI = 34%-43%); depressive symptoms, 27% (95% CI = 20%-34%); and somatic symptoms, 16% (95% CI = 3%-36%). The subgroup analysis revealed that the prevalence estimates of fear-related symptoms were consistently high. CONCLUSIONS: Medical staff during the COVID-19 epidemic have a high prevalence of adverse mental health symptoms. Data-based strategies are needed to optimize mental health of medical staff and other health care professionals during times of high demand such as the COVID-19 and other epidemics.PROSPERO Registration: CRD42020182433.
Authors: Danni Feng; Quan Wang; Sufang Huang; Xiaorong Lang; Fengfei Ding; Wei Wang Journal: Int J Environ Res Public Health Date: 2022-09-23 Impact factor: 4.614